Data Scientist Developer

hace 1 mes

Xico, México Capgemini A tiempo completo

Capgemini offers a competitive compensation package, estimated at around $120,000 per year in Mexico City.

As a Data Scientist Developer, you will work on developing machine learning models and algorithms, collaborating with Data Scientists and IT teams. Your tasks will include data formatting and manipulation, collecting and analyzing data from internal and external sources, developing testing queries, setting up CI/CD pipelines, optimizing machine learning models, and implementing and maintaining cloud-based infrastructure.

Responsibilities:

  • Collaborate with Data Scientists to develop machine learning models and algorithms
  • Perform data preparation and feature engineering to ensure high-quality data for machine learning models
  • Collect and analyze data from diverse internal and external source systems to assess its effectiveness and accuracy
  • Develop and execute testing queries to ensure high-quality machine learning models
  • Set up continuous integration and deployment (CI/CD) pipelines for machine learning models
  • Optimize machine learning models for high performance and scalability
  • Stay up-to-date with the latest machine learning techniques and technologies

Required Skills and Qualifications:

  • Bachelor's or Master's degree in Data Science, Mathematics, Computer Science, Analytics, or a related field
  • 3+ years of experience in deploying machine learning models
  • Strong programming skills in Python and PySpark
  • Understanding of data models and relational databases
  • Experience with GitHub and MLOps
  • Familiarity with CI/CD tools such as Jenkins
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills
  • Understanding of ML concepts, NLP, text analytics, and deep learning

Benefits:

  • Competitive compensation package
  • Opportunity to work with a multinational company with a presence in over 340 cities worldwide
  • Chance to develop your skills and career in a collaborative environment
  • Access to cutting-edge technology and tools

Others:

You will be part of a team that values honesty, boldness, trust, freedom, team spirit, modesty, and fun. You will have the opportunity to contribute to client satisfaction by providing timely and responsive value-added services and work products.

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